Open Access
Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
---|---|---|
Article Number | 04006 | |
Number of page(s) | 6 | |
Section | Engineering for Environment Development Applications | |
DOI | https://doi.org/10.1051/e3sconf/202449104006 | |
Published online | 21 February 2024 |
- KIRKAYA, A. (2020). Smart farming-precision agriculture technologies and practices. Journal of Scientific Perspectives, 4(2), 123-136. [Google Scholar]
- Raj, E. F. I., Appadurai, M., & Athiappan, K. (2022). Precision farming in modern agriculture. In Smart Agriculture Automation Using Advanced Technologies: Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT (pp. 61-87). Singapore: Springer Singapore. [Google Scholar]
- Singh, R. K., Berkvens, R., & Weyn, M. (2021). AgriFusion: An architecture for IoT and emerging technologies based on a precision agriculture survey. IEEE Access, 9, 136253-136283. [CrossRef] [Google Scholar]
- Alejandrino, J., Concepcion, R., Almero, V. J., Palconit, M. G., Bandala, A., & Dadios, E. (2020, December). A hybrid data acquisition model using artificial intelligence and IoT messaging protocol for precision farming. In 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-6). IEEE. [Google Scholar]
- Aggarwal, N., & Singh, D. (2021). Technology assisted farming: Implications of IoT and AI. In IOP Conference Series: Materials Science and Engineering (Vol. 1022, No. 1, p. 012080). IOP Publishing. [CrossRef] [Google Scholar]
- Karunathilake, E. M. B. M., Le, A. T., Heo, S., Chung, Y. S., & Mansoor, S. (2023). The path to smart farming: Innovations and opportunities in precision agriculture. Agriculture, 13(8), 1593. [CrossRef] [Google Scholar]
- Blackmore, S. (1994). Precision farming: an introduction. Outlook on agriculture, 23(4), 275-280. [CrossRef] [Google Scholar]
- Vibhute, A. D., & Gawali, B. W. (2013). Analysis and modelling of agricultural land use using remote sensing and geographic information system: a review. International Journal of Engineering Research and Applications, 3(3), 081-091. [Google Scholar]
- Phang, S. K., Chiang, T. H. A., Happonen, A., & Chang, M. M. L. (2023). From Satellite to UAV-based Remote Sensing: A Review on Precision Agriculture. IEEE Access. [Google Scholar]
- Bendre, M. R., Thool, R. C., & Thool, V. R. (2015, September). Big data in precision agriculture: Weather forecasting for future farming. In 2015 1st international conference on next generation computing technologies (NGCT) (pp. 744-750). IEEE. [Google Scholar]
- Ahmad, L., & Nabi, F. (2021). Agriculture 5.0: Artificial Intelligence, IoT and Machine Learning. CRC Press. [Google Scholar]
- Ahmad, N., Hussain, A., Ullah, I., & Zaidi, B. H. (2019, March). IOT based wireless sensor network for precision agriculture. In 2019 7th International electrical engineering congress (Ieecon) (pp. 1-4). IEEE. [Google Scholar]
- Delgado, J. A., Short Jr, N. M., Roberts, D. P., & Vandenberg, B. (2019). Big data analysis for sustainable agriculture on a geospatial cloud framework. Frontiers in Sustainable Food Systems, 3, 54. [CrossRef] [Google Scholar]
- Demestichas, K., Peppes, N., Alexakis, T., & Adamopoulou, E. (2020). Blockchain in agriculture traceability systems: A review. Applied Sciences, 10(12), 4113. [CrossRef] [Google Scholar]
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